The growing concern about the issue of environmental pollution and global warming calls for unprecedented research efforts fostering a transition towards a greener society. I am committed to expand our scientific knowledge and advance state-of-the-art engineering applications, to accelerate an ecological transition that can no longer be postponed. In my career, I have been actively contributing to wide variety of topics related both to fundamental science and to industrial applications. Broadly speaking, I am devoted to scientific modeling, numerics, uncertainty quantification, Bayesian inference and robust optimization, with a genuine pull towards machine learning and statistical data analysis.

One of my major interests is Non-Ideal Compressible Fluid Dynamics (NICFD), a very interesting research field still presenting many unaswered questions. Beside the theoretical challenges, NICFD finds its noblest application to the realm of sustainable energies, being of the utmost importance for improving the design, ultimately the efficiency, of green power production systems.
I have a keen interest in investigating theoretical, experimental and numerical aspects concerning non-ideal gasdynamics, with a special focus on designing Organic Rankine Cycle (ORC) systems. Together with many collegues and friends, I am working on modeling non-ideal gasdynamics effects, on developing numerical tools and softwares specifically devised to NICFD, on the statistical analysis of experimental observation, including thermodynamic model calibration and parameter inference, and on developing novel techniques for designing turbomachines robust to epistemic and aleatoric uncertinty.

A second (but not secondary) interests of mine is in-flight icing.
In-flight ice accretion is a quite recurring detrimental phenomenon leading to a modification of the airflow around wings, sensors and engines, to an increase of the overall weight and sometimes to the locking of control surfaces. Ultimately, it can result into a significant performance degradation, posing a serious threat to passengers safety. My efforts are pledged to developing novel and more accurate ice accretion models. In addition, I am interested in numerical aspects related to the simulation of in-flight ice accretion. I have been the leading developer (from 2012 to 2017) of the PoliMIce ice accretion code. The PoliMIce suite is now employed in several European research projects e.g., UTOPIAE (Uncertainty Treatment and OPtimisation in Aerospace Engineering, H2020 MSCA- ITN, ESR10: Uncertainty Characterisation in Multi-fidelity Anti-ice system and Design. Website: http://utopiae.eu), NITROS MSCA-ITN (Network for innovative training on rotorcraft safety, H2020 MSCA European Joint Doctorate, ESR1: Simulation and prevention of ice formation and shedding on rotorcraft) and H2020 ICE-GENESIS project (WP9, WP10, WP11) coordinated by Airbus.

Moreover, I have a keen interest in spacecraft atmospheric entry. In particular, I have been working on the quantification of the uncertainty affecting experiments devoted to investigating the behavior of ablative materials usually employed to build the heat shields that protects the spacecraft during the atmospheric entry.

Short scientific CV

Education

2019 Ph.D. in Aerospace Engineering

Thesis: Non-Ideal Compressible Fluid-Dynamics: Developing a Combined Perspective on Modeling, Numerics and Experiments.
Department of Aerospace Science and Technology, Politecnico di Milano, Italy
Advisor: Prof. Alberto Matteo Attilio Guardone

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2013 MSc in Aeronautical Engineering

Thesis: PoliMIce: un ambiente di simulazione per la previsione dell’accrescimento di ghiaccio su velivoli.
Department of Aerospace Science and Technology, Politecnico di Milano, Italy

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2010 BSc in Aerospace Engineering

Department of Aerospace Science and Technology, Politecnico di Milano, Italy

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2007 High school diploma

Liceo Scientifico Amedeo di Savoia duca di Aosta, Pistoia, Italy

Current and previous positions

2021 - Assistant Professor of Fluid Mechanics

Department of Aerospace Science and Technology, Politecnico di Milano, Italy

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2021 - 2021 CS2 H2020 MONNALISA Project, Post-Doctoral fellow

Department of Aerospace Science and Technology, Politecnico di Milano, Italy

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2017 - 2020 UTOPIAE MSCA-ITN Early Stage Researcher

INRIA/Centre de Mathématiquées Appliqueé, École Polytechnique, IPP, France

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2014 - 2017 Research fellow

CREALab/Department of Aerospace Science and Technology, Politecnico di Milano, Italy

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Awarded fellowships

2022- Marie Sklodowska-Curie Post-doctoral fellowship

Fellowship within the UN-BIASED HORIZON-MSCA-PF-01 “UNcertainty quantification and modelling Bias Inhibition by means of an Agnostic Synergistic Exploitation of multi-fidelity Data”,
Department of Aerospace Science and Technology, Politecnico di Milano, Italy

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2021 - 2021 Post-doctoral fellow

Temporary Research Fellowship for Research Activities UOR DAER “Development of simplified models for the aerodynamics of wings at high angle of attack”
DAER, Department of Aerospace Science and Technology, Politecnico di Milano, Italy

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2017 - 2020 Marie Sklodowska-Curie Early Stage Researcher

Fellowship within the UTOPIAE H2020-MSCA-ITN-2016, "Inference and Design of Experiments in Large Scale Flow Problems" (ESR3)
INRIA/Centre de Mathématiquées Appliqueé, École Polytechnique, IPP, France

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2015 - 2017 Research fellow

Temporary Research Fellowship for Research Activities UOR DAER “Metodi numerici per la simulazione di correnti di fluidi comprimibili non-ideali”
CREALab, Department of Aerospace Science and Technology, Politecnico di Milano, Italy

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2014 - 2015 Research fellow

Temporary Research Fellowship for Research Activities UOR DAER “Simulazione numerica di correnti di gas densi con codici fluidodinamici per griglie chimera”
CREALab, Department of Aerospace Science and Technology, Politecnico di Milano, Italy

Supervising activity

Ph. D. students

2024 - Supervisor A. Perlini “Hypersonic vehicle enhancement via robust multi-fidelity optimization ”,
Department of Aerospace Science and Technology, Politecnico di Milano, Italy

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2023 - Co-supervisor O. Kahol ESR9 TRACES JD-DN “Robust assessment of the model error for ice accretion models through Bayesian-based methods and experimental data”,
Joint Doctorate: Department of Aerospace Science and Technology, Politecnico di Milano, Italy and INRIA/Centre de Mathématiquées Appliqueé, École Polytechnique, France

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M. Sc. students at Department of Aerospace Science and Technology, Politecnico di Milano, Italy

2025 - Supervisor A Comparative Multi-fidelity Aerodynamic Analysis of Open and Shrouded Rotors, G. Ruggeri

2025 - Supervisor URANS Credibility Assessment for Dynamic Stall Prediction, F. Vegetti

2024 - Supervisor Towards Calibration of Kinetic Models for Nonequilibrium Flows Using the PlasmatronX Facility, F. Cutolo

2024 - Supervisor Assessment of RANS Turbulence Closures for a High Supersonic Flow Over a Compression Ramp, D. Di Marzio

2024 - Supervisor Multi Level Monte Carlo Uncertainty Analysis of Nonequilibrium Shock Interaction in 11-species Air Flows, N. Sarman

2024 - Supervisor Development of a radio communication blackout model for re-entering vehicles: application to the ESA reusable spaceplanes, N. Trippella

2024 - Supervisor Multidisciplinary Optimization of Spacecraft Heat Shield for Atmospheric Entry: Coupling Nonequilibrium Fluid Dynamics and Material Response, A. Aponte

2024 - Supervisor A preliminary study of Neural Operator-based surrogates for heat transfer assessment in hypersonic conditions, M. Migliavacca

2024 - Supervisor Accelerazione GPU del solutore fluidodinamico computazionale SU2-NICFD: analisi preliminare di possibili strategie di implementazione, M. Salvatori

2023 - Supervisor A Hybrid Bayesian-Adjoint Framework for Aerodynamic Shape Optimization, A. Perlini

2023 - Supervisor Adjoint-based sensitivity analysis for chemical non-equilibrium kinetics: application to O2 + O system, C. Capecchi

2023 - Supervisor Adjoint-based optimization of an air intake with RANS turbulence closure credibility constraint, G. Girardello

2023 - Supervisor A Bayesian framework for the shape optimization of atmospheric reentry vehicles, A. Meo

2023 - Supervisor Enhanced physics-based Deep Learning Closure for improving rarefied non-equilibrium flows predictions, E. Monti

2023 - Co-supervisor Analysis on the conservation of SU2 sliding mesh algorithms dealing with non-rectilinear interfaces., D. Mazzucchetti,

2022 - Supervisor Improving the accuracy of a low-fidelity aerodynamic model via Bayesian calibration, T. Davoli

2022 - Co-supervisor Low-order models for the fast aerodynamic analysis of unconventional aircraft tail configuration: assessment and improvement, F. Gajo

2022 - Co-supervisor Numerical investigation of hypersonic flows in thermochemical nonequilibrium with uncertainty quantification, G. Rossi

2021 - Co-supervisor A Bayesian approach for uncertainty characterization in in-flight snow accumulation problems, V. Aisya

2021 - Co-supervisor A new Statistical Snow Cloud Model for Aeronautical Applications, A. Raimondi

2017 - Co-supervisor Un Modello Semplificato per l’Accrescimento di Ghiaccio su Profili Alari Oscillanti, D. Sangaletti

2016 - Co-supervisor Dynamics of Line-Cavity Systems for Ideal and Non-Ideal Compressible-Fluid Flows, P. Molesini

2015 - Co-supervisor Generazione di Immagini Schlieren da Simulazioni Fluidodinamiche su Architettura GPU, L. Virtuani

2015 - Co-supervisor A Model for In-Flight Ice Accretion Based on the Exact Solution of the Unsteady Stefan Problem, G. Parma

2013 - Co-supervisor Effetti di Galleria nelle Misure di formazione di Ghiaccio su Velivoli, M.Zocca

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